Build Scalable Python Jobs with Aws Glue for Ray Ant343

Title

AWS re:Invent 2022 - Build scalable Python jobs with AWS Glue for Ray (ANT343)

Summary

  • AWS Glue is a serverless data integration service used for data discovery, preparation, and analysis.
  • AWS Glue offers a variety of interfaces for different user personas, including visual DAG, Glue Studio Notebook, DataBrew, and API SDK.
  • AWS Glue provides two primitives: AWS Glue jobs (fire and forget system) and Glue Interactive Sessions (for real-time job evaluation).
  • AWS Glue supports two processing engines: Apache Spark for distributed processing and a single-node Python shell engine.
  • AWS Glue for Ray was announced, enabling serverless data integration using distributed Python, with auto-scaling and fast setup times.
  • AWS Glue for Ray integrates with Glue Studio, SageMaker Studio notebooks, and supports interactive sessions.
  • AWS SDK for Pandas now supports Ray and Modin, allowing for distributed processing of pandas data frames.
  • AWS Glue for Ray is in preview in five regions, using Graviton2 instances for workers.
  • AWS Glue for Ray aims to make data integration instant on, with compute scaling up and down in under a second.

Insights

  • AWS Glue's addition of Ray as a third engine addresses the challenge of scaling Python beyond a single node, which is crucial for processing big data workloads.
  • The integration of AWS Glue with SageMaker Studio notebooks provides a seamless experience for data scientists to prepare data for machine learning within a single interface.
  • AWS Glue for Ray's auto-scaling feature is cost-effective as it scales up quickly when needed and scales down idle workers to minimize waste.
  • The AWS SDK for Pandas' support for Ray and Modin simplifies the process of distributed data processing, making it accessible to data engineers without the need to learn new distributed computing paradigms.
  • The new data analytics platform built on AWS Graviton instances and designed for IPv6 demonstrates AWS's commitment to performance, cost-efficiency, and future-proofing their services.
  • AWS Glue for Ray's preview availability in five regions with Graviton2 instances indicates AWS's strategic direction towards providing more powerful and efficient data processing capabilities.